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Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".

Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".
Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".
Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".
AMD, RPE, POS, RNAseq, Cell culture, proteostasis, Amyloid Beta, OxPOS
University of Southampton
Miller, Rebecca Denise
55f92938-8417-4e07-a482-8fa4f5da42e5
Miller, Rebecca Denise
55f92938-8417-4e07-a482-8fa4f5da42e5

Miller, Rebecca Denise (2026) Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE". University of Southampton doi:10.5258/SOTON/PG/D299 [Dataset]

Record type: Dataset

Abstract

Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".

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More information

Published date: 2026
Keywords: AMD, RPE, POS, RNAseq, Cell culture, proteostasis, Amyloid Beta, OxPOS

Identifiers

Local EPrints ID: 511500
URI: http://eprints.soton.ac.uk/id/eprint/511500
PURE UUID: 9ce351fe-af3f-4047-b0a6-fdfe4e2783d5
ORCID for Rebecca Denise Miller: ORCID iD orcid.org/0000-0001-8550-6921

Catalogue record

Date deposited: 18 May 2026 16:39
Last modified: 19 May 2026 02:00

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Contributors

Creator: Rebecca Denise Miller ORCID iD

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